Five ways to debug your website without knowing how to code

Make Uxify one of your go-to sources on Google

Add Uxify on Google

For a long time, asking an AI assistant to fix something on your website was a bit like describing a strange noise in your car to a mechanic over the phone. It could make educated guesses. It could tell you what usually causes that kind of thing. But it couldn’t actually pop the hood and look.

That’s no longer true. Your AI assistant can now open your site in a real Chrome browser, poke at it, watch what happens, and report back with actual findings instead of hopeful guesses. The tool that makes this possible is called the Chrome DevTools MCP , and the technical details behind it don’t matter much for what we’re doing here. What matters is what it lets you do.

What is Chrome DevTools MCP?

Chrome DevTools MCP is a free, official tool from the Chrome team that lets AI assistants like Claude, Cursor, and Copilot open your website in a real Chrome browser, inspect what’s actually happening, and diagnose problems. It gives your assistant the same tools a developer uses in Chrome’s DevTools. You don’t need to understand any of the internals to benefit from it.

What it lets you do is this: you can now debug your website by describing the problem in plain words. No code, no jargon, and no need to know what a “console error” even is. Just say what looks wrong, and let the assistant go and find out why.

Here are five ways to put that to work.

1. Confirm a fix actually worked

Start with the simplest one, because it’s the most underrated. Any time someone makes a change to your site, you can ask the assistant to open the page and check that the change does what it was meant to do.

Open the page in the browser and confirm the change works.

It sounds almost too basic to bother with. It isn’t. This one habit catches a huge number of “we thought it was fixed” moments before your customers ever run into them. No more taking someone’s word that it’s sorted.

2. Find out why something won’t load

Images that don’t appear, a feature that does nothing, a page that only half loads. These problems are almost always caused by something invisible happening in the background, which is exactly why they’re so frustrating to diagnose. You can see the symptom, but not the cause.

Now the assistant can read those background messages for you and pinpoint the one that failed.

Some images on this page aren't loading. Take a look and tell me why.

Instead of guessing, it inspects what the browser actually tried to fetch and finds the request that broke.

3. Figure out why a form won’t submit

Forms are where money leaks out of a business. If people can’t sign up, book a slot, or check out, nothing else on the page matters. And forms fail in sneaky ways, often only for certain people or after a certain step.

The assistant can now fill in the form the way a real visitor would, then watch exactly where it falls over.

Fill out the signup form and tell me why it fails after I enter an email.

You get a straight answer about the specific step that’s breaking, rather than a shrug.

4. Fix a page that looks broken or messy

Something’s overlapping. A button has run off the edge. A section looks perfect on your screen and a mess on someone else’s. Layout problems are maddening because they often depend on the exact device and screen someone is using.

The assistant can inspect the live page and come back with concrete fixes instead of vague theories.

This page looks off and things are overlapping. Check what's going on with the layout.

You get told which element is actually causing the mess, not just that something looks wrong.

5. Find out what’s making a page slow

This is the big one, and the numbers back it up. A one-second delay in load time can cut conversions by around 7% ( WIRO , 2026), and 53% of mobile visitors abandon a page that takes longer than three seconds to load ( Reform , 2025). A slow page costs you visitors, sales, and search rankings, and “it feels slow” is a hard thing to act on.

The assistant can now record a proper performance measurement, the same kind a developer would capture by hand, then read it back and point at what’s dragging things down.

This page loads slowly. Figure out what's slowing it down and make it faster.

That single sentence can surface the oversized image, the clunky script, or the sluggish server response that’s been quietly costing you customers.

Why should a non-technical owner care?

None of this lands on your plate to run yourself. But knowing it exists changes how you talk to whoever builds your site, and what you can reasonably ask of them.

A few things get easier:

• You can describe a problem in plain words. “The checkout button does nothing on my phone” is now a perfectly good bug report, because the AI can go and reproduce it.
• Fixes get verified before they ship. No more “it should be fine now” followed by the same broken thing.
• The dreaded “it works on my machine” excuse loses some of its power, because now there’s a shared browser everyone can point at.

If you want a broader starting point, our performance checklist for non-developers pairs well with these five prompts.

How do I set up Chrome DevTools MCP?

You don’t have to set this up yourself. If your developer wants to turn it on, the whole thing is a short config entry added to whatever AI tool they use. It works with Claude Code, Cursor, Cline, Copilot, and Gemini CLI, and the setup is nearly identical across all of them:

{
  "mcpServers": {
    "chrome-devtools": {
      "command": "npx",
      "args": ["chrome-devtools-mcp@latest"]
    }
  }
}

Under the hood, the server hands your assistant 26 tools across 6 categories, covering navigation, form filling, network inspection, screenshots, and performance tracing ( DataCamp , 2026). A quick test prompt like “check the loading speed of web.dev” confirms it’s working. That’s the entire setup. Forward this section to whoever handles the technical side and you’re done.

You can find the full instructions on the official Chrome for Developers announcement , the GitHub repository , or the npm package page .

Where this helps, and where it stops

Here’s the honest bit, because it changes how you should use all of this.

These five tricks are brilliant at the moment of fixing. They look at one page, on one machine, at one point in time, usually a developer’s laptop. That’s exactly what you want when you’re hunting down a specific problem you already know about.

What they don’t do is tell you which problems are worth hunting in the first place, or whether a fix actually helped the real people using your site. A page can load fast on a developer’s quick laptop and speedy office internet, and still crawl for a customer on a three-year-old phone halfway across the country. That difference between a lab test and reality is exactly what the terms lab data vs field data describe.

That’s the gap we built Uxify to fill. Uxify watches how your real visitors actually experience your site through real user monitoring . Not a test run, but the genuine loading speed and responsiveness real people get, day after day. So the two fit together neatly: Uxify shows you which pages are hurting real customers and roughly what it’s costing you, you point your AI assistant at those exact pages using the five tricks above, and then Uxify tells you whether the fix moved the needle for actual visitors.

One side finds and fixes the problem in the room. The other tells you which room to walk into, and whether the fix held up once it’s out in the wild.

The takeaway

You no longer need to know how to code to debug your website. You need to know how to describe what’s wrong. Start with the “confirm it works” habit, keep the other four prompts handy for when something breaks, and lean on real-visitor data to decide what’s actually worth your time.

Your website has been trying to tell you where it hurts. Now anyone can help it get the message across.

Is Chrome DevTools MCP free?

Yes. Chrome DevTools MCP is a free, open-source tool published by the Chrome DevTools team. There’s no licence fee or subscription. Your developer installs it in whatever AI assistant they already use, and it runs locally on their machine using the browser you already have.

Do I need to know how to code to use it?

No. The whole point is that you describe the problem in plain English and the assistant does the technical work. A developer handles the one-time setup, a short config entry, but the day-to-day prompts like “tell me why this form fails” need no code from you.

Which AI assistants work with Chrome DevTools MCP?

It works with most major AI coding assistants, including Claude Code, Cursor, Cline, Copilot, and Gemini CLI. The setup is nearly identical across all of them: a short config entry pointing to the chrome-devtools-mcp package.

Is it safe to let AI control my browser?

It’s worth being careful. Because the tool exposes a live browser, it grants the assistant real access, so sensitive accounts and data should be handled thoughtfully. Chrome asks for permission before granting a debugging session, and for anything gated behind a login, keep a human in the loop.

Does Chrome DevTools MCP replace real user monitoring?

No. It inspects one page on one machine at a single moment, which is ideal for fixing a known problem. It can’t tell you how thousands of real visitors experience your site over time. Pair it with real user monitoring to know which pages to fix and whether fixes actually helped.